---
type: "post"
id: "nvidia-has-published-the-technical-report-model-checkpoints-5c5ae7"
slug: "nvidia-has-published-the-technical-report-model-checkpoints-5c5ae7"
title: "NVIDIA has published the technical report , model checkpoints, and reinforcement-learning dataset list."
description: "NVIDIA has published a technical report and model assets for Nemotron 3.5 Bolt E4B 4GB, a small language model for fast conversational agents."
retrieval_nugget: "NVIDIA has published a technical report and model assets for Nemotron 3.5 Bolt E4B 4GB, a small language model for fast conversational agents."
published_at: "2026-10-24"
updated_at: "2026-10-24"
record_date: "2026-10-24"
date_kind: "published_at"
topics: ["harness-engineering","agent-runtime"]
entities: ["NVIDIA","Nemotron 3.5 Bolt E4B 4GB","Gemma4-E4B-it","NVIDIA NIM","DFlash","NeMo-RL","NeMo-Gym"]
related_patterns: ["harness-architecture-outlives-model-choice","model-answers-become-task-interfaces"]
novelty_label: "new_fact"
what_changed: "NVIDIA now publishes the Nemotron 3.5 Bolt E4B 4GB technical report, model checkpoints and reinforcement-learning dataset list, detailing benchmark and DFlash speed results."
prior_refs: ["memory:72a5e4b3-a28b-8947-aebb-d597566fe9de","memory:6f3f8de8-ef52-829f-ab81-532d01fe7d9e"]
source_url: "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-Technical-Report.pdf"
source_urls: ["https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-Technical-Report.pdf"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:nvidia-has-published-the-technical-report-model-checkpoints-5c5ae7"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/nvidia-has-published-the-technical-report-model-checkpoints-5c5ae7/","markdown":"https://newruntime.com/posts/nvidia-has-published-the-technical-report-model-checkpoints-5c5ae7.md","json":"https://newruntime.com/posts/nvidia-has-published-the-technical-report-model-checkpoints-5c5ae7.json"}
---

# NVIDIA has published the technical report , model checkpoints, and reinforcement-learning dataset list.

## Retrieval answer

NVIDIA has published a technical report and model assets for Nemotron 3.5 Bolt E4B 4GB, a small language model for fast conversational agents.

NVIDIA has published a technical report and model assets for Nemotron 3.5 Bolt E4B 4GB, a small language model for fast conversational agents. The report describes it as further post-trained from Gemma4-E4B-it for multi-turn tool use, instruction following, input grounding, and structured output.

The release lists a Q4_K_M GGUF checkpoint, a BF16 Hugging Face-format checkpoint, and DFlash drafter variants for speculative decoding. NVIDIA also says the model is available through Hugging Face and NVIDIA NIM, with a free API endpoint and a local NIM download. The target memory footprint is about 4 GB.

In NVIDIA's RTX 5090 measurements, the Q4_K_M model recorded a 285 ms time to first token and a 70.2 representative benchmark average. With DFlash, NVIDIA reports 2.74x per-user decode speed versus non-speculative inference at concurrency one.

The report does not establish independent benchmark validation, performance on other hardware, production reliability, or the terms that govern every listed asset.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Harness Engineering](https://newruntime.com/topics/harness-engineering.md): Explore the harness-engineering topic hub.
- topic hub: [Agent Runtime](https://newruntime.com/topics/agent-runtime.md): Explore the agent-runtime topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)